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Piotr Skalski

ML Growth Engineer @ Roboflow | Owner @ github.com/SkalskiP/make-sense (2.4k stars) | Blogger @ skalskip.medium.com/ (4.5k followers)

Latest Posts by Piotr Skalski

Leveraging Embeddings and Clustering Techniques in Computer Vision

1 May 2023 • 5 min read

Leveraging Embeddings and Clustering Techniques in Computer Vision

Explore the world of image embeddings in computer vision, as we dive into clustering, dataset assessment, and detecting image duplication. Discover dimensionality reduction techniques like t-SNE and UMAP. Use CLIP embeddings for analyzing image class distribution and identifying similar images.

Zero-Shot Image Annotation with Grounding DINO and SAM - A Notebook Tutorial

21 Apr 2023 • 5 min read

Zero-Shot Image Annotation with Grounding DINO and SAM - A Notebook Tutorial

In this comprehensive tutorial, discover how to speed up your image annotation process using Grounding DINO and Segment Anything Model. Learn how to convert object detection datasets into instance segmentation datasets, and use these models to automatically annotate your images.

Grounding DINO : SOTA Zero-Shot Object Detection

30 Mar 2023 • 6 min read

Grounding DINO : SOTA Zero-Shot Object Detection

Most object detection models are trained to identify a narrow predetermined collection of classes. Zero-shot detectors like Grounding DINO want to break this status quo by making it possible to detect new objects without re-training a model.

Build Computer Vision Applications Faster with Supervision

27 Mar 2023 • 2 min read

Build Computer Vision Applications Faster with Supervision

Learn how Supervision, a new Python package with utilities for building computer vision apps, can help you work through your computer vision projects faster than ever.

How to Code Non-Maximum Suppression (NMS) in Plain NumPy

8 Mar 2023 • 4 min read

How to Code Non-Maximum Suppression (NMS) in Plain NumPy

Double Detection in Computer Vision If you’ve been working with object detection long enough, you’ve undoubtedly encountered the problem of double detection. For some reason, the model detects the same object multiple times on the same image. This is particularly inconvenient if you want to build more advanced

Track and Count Objects Using YOLOv8

1 Feb 2023 • 4 min read

Track and Count Objects Using YOLOv8

Counting moving objects is one of the most popular use cases in computer vision. It is used, among other things, in traffic analysis and as part of the automation of manufacturing processes. That is why understanding how to do it well is crucial for any CV engineer.

How to Train YOLOv8 Object Detection on a Custom Dataset

10 Jan 2023 • 9 min read

How to Train YOLOv8 Object Detection on a Custom Dataset

In this article, we walk through how to train a YOLOv8 object detection model using a custom dataset.

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

29 Dec 2022 • 11 min read

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

In this article, we're going to walk through how to detect concrete cracks using instance segmentation.

Track Football Players with Computer Vision

9 Dec 2022 • 4 min read

Track Football Players with Computer Vision

In this post, we use a YOLOv5 detection model and state-of-the-art tracker ByteTRACK to track football players.

Use Docker to Deploy Computer Vision Models

17 Nov 2022 • 4 min read

Use Docker to Deploy Computer Vision Models

💡Ready to deploy a vision model? Roboflow Inference, the server that powers millions of inferences on the Roboflow platform, is now available as an open source project. See the Quickstart to get started. When we talk about Deep Learning (DL), we often focus on new SOTA models and how they

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